{"id":2908714,"url":"https://alion.io/job/mckesson-lead-data-architect-engineer","title":"Lead Data Architect & Engineer","company":{"id":4393,"name":"McKesson","domain":"mckesson.com","url":"https://alion.io/company/mckesson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":34,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Dallas, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":133700,"max":222900,"currency":"USD","period":"year","gross":null,"usd_annual":222900},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Gmail","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-09-18T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-26T10:04:11Z","board_verified":false,"closed_at":"2026-10-26T10:04:11Z","days_open":38,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":38},"description":"McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.\nWhat you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.\nRole Summary\nThe Lead Data Engineer / Architect is a senior individual contributor on McKesson’s Provider Revenue Operations team. This role owns the data architecture, pipelines, models, and automation behind revenue and performance analytics.\nThe role builds and supports the data used for sales performance dashboards, month-end and quarter-end close, payment and commission validation, and leadership reporting. It works closely with technical teams, business partners, and leaders to deliver scalable solutions that meet current needs and support future growth.\nThis person serves as the primary technical lead for Revenue Operations data architecture and development, including cloud platforms, system integrations, automation, and platform migrations.\nMuch of this work currently depends on manual processes and individual knowledge. This role will replace those dependencies with automated, reusable data infrastructure so that reporting is accurate, consistent, and independent of any one person.\nAn AI-minded approach is core to the role. Modern AI capabilities such as retrieval-augmented generation (RAG), large language models, and agentic workflows are applied where they measurably speed up or sharpen revenue intelligence, along with building the data foundations that make those use cases possible. AI is a tool this work relies on when it fits, not the primary mandate.\nThis position is open to applicants located anywhere in the United States. Compensation will vary based on the selected candidate’s geographic location.\nKey Responsibilities\nRevenue and Performance Data Architecture\nDesign, build, and support a cloud-based data environment for structured, semi-structured, and unstructured revenue and performance data.\n\nDefine Revenue Operations data architecture and cloud data models based on business, analytical, operational, security, and regulatory needs.\n\nOwn the full data lifecycle, from data collection and transformation through dashboards and reports.\n\nAutomate the data flows supporting month-end and quarter-end close.\n\nBuild consistent logic for payment, commission, quota, and attainment validation.\n\nDevelop conceptual, logical, and physical data models for operational and analytical use.\n\nDesign ETL and ELT pipelines, APIs, real-time integrations, and event-driven solutions.\n\nIntegrate data from Salesforce, Outreach, finance systems, and other business platforms.\n\nBuild fact tables, dimensions, and semantic layers that provide a governed source of truth for Power BI and Tableau.\n\nEnsure every data product is accurate, reliable, scalable, and maintainable.\n\nArchitecture Standards and Technical Direction\nServe as the primary technical and architecture contact for revenue and performance analytics.\n\nDefine standards for data, integration, backend, frontend, and automation solutions.\n\nEstablish design patterns for cloud, on-premises, and hybrid environments.\n\nMaintain clear documentation showing how data is stored, processed, integrated, secured, and accessed.\n\nEvaluate and recommend technologies that improve development, automation, data management, performance, and support.\n\nPromote automation, consistency, and reuse across analytics and financial close processes.\n\nApplied AI for Revenue Intelligence\nBuild governed data foundations that allow revenue and performance data to be used safely by AI solutions, including RAG pipelines.\n\nApply large language models, vector search, and agentic workflows to practical Revenue Operations needs when they deliver measurable value.\n\nDevelop use cases such as natural-language data queries, automated variance explanations, anomaly detection, and self-service insights.\n\nApply responsible AI standards, including grounding, guardrails, privacy, security, and auditability.\n\nMinimum Requirement\nDegree or equivalent and typically requires 7+ years of relevant experience.\nEducation\nBachelor’s degree or an equivalent combination of education and experience.\nCritical Skills\nTypically requires 7+ years of experience in data engineering, analytics engineering, or data and application architecture. Relevant advanced education may offset some experience.\n\nExpert knowledge of enterprise data pipelines, ETL and ELT processes, and data models supporting sales, revenue, or financial reporting.\n\nAdvanced SQL, Python, and scripting skills for complex queries, performance optimization, and large-scale data processing.\n\nDeep knowledge of conceptual, logical, and physical data modeling, including metadata, lineage, and enterprise data standards.\n\nStrong hands-on experience with Databricks, Snowflake, and Azure Data Factory.\n\nAdditional Skills\nExperience integrating Salesforce, sales engagement platforms such as Outreach, finance systems, and other enterprise applications.\n\nExperience designing APIs, real-time integrations, and event-driven solutions.\n\nExperience building bots, system integrations, and reusable automation components.\n\nHands-on experience with PySpark and Power BI or Tableau.\n\nExperience with cloud, on-premises, and hybrid platforms, including SaaS, PaaS, IaaS, and Infrastructure as Code.\n\nExperience building data architecture for sales performance, revenue, commission, or incentive reporting.\n\nExperience supporting month-end or quarter-end close and financial or revenue reconciliation is strongly preferred.\n\nAbility to independently lead complex data and architecture initiatives with minimal oversight.\n\nAbility to explain technical work and recommendations clearly to sales and operations leaders.\n\nExperience with process automation, enterprise applications, or platform migrations is preferred.\n\nExperience applying emerging data and AI technologies to business problems is preferred.\n\nExperience in healthcare or another regulated industry is strongly preferred.\n\nPhysical Requirements\nGeneral office demands.\n\nMust have the ability to travel up to 20% of the time.\n\nThis position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work-from-home model. If located in DFW area, the selected candidate may be expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated according to team needs and business priorities.\nMcKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future\nWe are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations.In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.\nOur Base Pay Range for this position\n$133,700 - $222,900McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:\nMcKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.\nMcKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.\nMcKesson job postings are posted on our career site: careers.mckesson.com.\nMcKesson is an Equal Opportunity Employer\nMcKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.\nMcKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States)  or (Canada) . Resumes or CVs submitted to this email box will not be accepted.\nJoin us at McKesson!","description_format":"text","description_chars":9898,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Pharmaceutical Distribution","Medical Equipment Distribution"],"lifecycle":[{"event":"open","at":"2026-10-20T08:49:58Z"},{"event":"close","at":"2026-10-26T10:04:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 107 · green card filings: 37","filings_12m":107,"filings_prev_12m":142,"green_card_filings_12m":37,"median_offered_wage_usd":152361,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":26}],"liveness":null,"pay":{"stated_usd_annual":222900,"is_top_pay":true},"html_url":"https://alion.io/job/mckesson-lead-data-architect-engineer","json_url":"https://alion.io/job/mckesson-lead-data-architect-engineer.json","meta":{"generated_at":"2026-10-27T12:09:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14551,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4393},"rest":"https://alion.io/mcp/rest/get_company?id=4393"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmckesson-lead-data-architect-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmckesson-lead-data-architect-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmckesson-lead-data-architect-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mckesson-lead-data-architect-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmckesson-lead-data-architect-engineer"}]}